Author
Donald Byrd
Other affiliations: University of Massachusetts Amherst
Bio: Donald Byrd is an academic researcher from Indiana University. The author has contributed to research in topics: User interface & Pop music automation. The author has an hindex of 16, co-authored 36 publications receiving 1276 citations. Previous affiliations of Donald Byrd include University of Massachusetts Amherst.
Papers
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TL;DR: A four- phase framework for user-interface design provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms, leading to more effective searches and higher satisfaction.
Abstract: Current user interfaces for textual database searching leave much to be desired: individually, they are often confusing, and as a group, they are seriously inconsistent. We propose a four- phase framework for user-interface design: the framework provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms. Users will benefit from faster learning, increased comprehension, and better control, leading to more effective searches and higher satisfaction.
249 citations
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TL;DR: This paper considers some of the most fundamental problems in music information retrieval, challenging the common assumption that searching on pitch (or pitch-contour) alone is likely to be satisfactory for all purposes.
Abstract: Although a substantial number of research projects have addressed music information retrieval over the past three decades, the field is still very immature. Few of these projects involve complex (polyphonic) music; methods for evaluation are at a very primitive stage of development; none of the projects tackles the problem of realistically large-scale databases. Many problems to be faced are due to the nature of music itself. Among these are issues in human perception and cognition of music, especially as they concern the recognizability of a musical phrase. This paper considers some of the most fundamental problems in music information retrieval, challenging the common assumption that searching on pitch (or pitch-contour) alone is likely to be satisfactory for all purposes. This assumption may indeed be true for most monophonic (single-voice) music, but it is certainly inadequate for polyphonic (multi-voice) music. Even in the monophonic case it can lead to misleading results. The fact, long recognized in projects involving monophonic music, that a recognizable passage is usually not identical with the search pattern means that approximate matching is almost always necessary, yet this too is severely complicated by the demands of polyphonic music. Almost all text-IR methods rely on identifying approximate units of meaning, that is, words. A fundamental problem in music IR is that locating such units is extremely difficult, perhaps impossible.
152 citations
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TL;DR: A four-phase framework for user-interface design that provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms is proposed.
Abstract: Current user interfaces for textual database searching leave much to be desired: individually, they are often confusing, and as a group, they are seriously inconsistent. We propose a four-phase framework for user-interface design. The framework provides common structure and terminology for searching while preserving the distinct features of individual collections and search mechanisms.
151 citations
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01 Jan 1997
TL;DR: Participation du CIIR (Center for Intelligent Information Retrieval) de l'Universite du Massachusetts au congres TREC 6
Abstract: Participation du CIIR (Center for Intelligent Information Retrieval) de l'Universite du Massachusetts au congres TREC 6
94 citations
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01 Aug 1999TL;DR: A document viewer is built incorporating a visualization centered around a novel content-displaying scrollbar and color term highlighting, and whether the visualization is helpful to non-expert searchers is studied.
Abstract: We are interested in questions of improving user control in bestmatch text-retrieval systems, specifically questions as to whether simple visualizations that nonetheless go b eyond the minimal ones generally available can significantly help users. Recently, we have been investigating ways to help users decide—given a set of documents retrieved by a query—which documents and p assages are worth closer examination. We built a document viewer incorporating a visualization centered around a novel content-displaying scrollbar and color term highlighting, and studied whether the visualization is helpful to non-expert searchers. Participants’ reaction to the visualization was very positive, while the objective results were inconclusive.
90 citations
Cited by
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IBM1
TL;DR: This taxonomy of web searches is explored and how global search engines evolved to deal with web-specific needs is discussed.
Abstract: Classic IR (information retrieval) is inherently predicated on users searching for information, the so-called "information need". But the need behind a web search is often not informational -- it might be navigational (give me the url of the site I want to reach) or transactional (show me sites where I can perform a certain transaction, e.g. shop, download a file, or find a map). We explore this taxonomy of web searches and discuss how global search engines evolved to deal with web-specific needs.
2,094 citations
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01 Dec 2006TL;DR: Providing an in-depth examination of core text mining and link detection algorithms and operations, this text examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches.
Abstract: 1. Introduction to text mining 2. Core text mining operations 3. Text mining preprocessing techniques 4. Categorization 5. Clustering 6. Information extraction 7. Probabilistic models for Information extraction 8. Preprocessing applications using probabilistic and hybrid approaches 9. Presentation-layer considerations for browsing and query refinement 10. Visualization approaches 11. Link analysis 12. Text mining applications Appendix Bibliography.
1,628 citations
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05 Apr 2003TL;DR: An alternative based on enabling users to navigate along conceptual dimensions that describe the images is presented, which makes use of hierarchical faceted metadata and dynamically generated query previews.
Abstract: There are currently two dominant interface types for searching and browsing large image collections: keyword-based search, and searching by overall similarity to sample images. We present an alternative based on enabling users to navigate along conceptual dimensions that describe the images. The interface makes use of hierarchical faceted metadata and dynamically generated query previews. A usability study, in which 32 art history students explored a collection of 35,000 fine arts images, compares this approach to a standard image search interface. Despite the unfamiliarity and power of the interface (attributes that often lead to rejection of new search interfaces), the study results show that 90% of the participants preferred the metadata approach overall, 97% said that it helped them learn more about the collection, 75% found it more flexible, and 72% found it easier to use than a standard baseline system. These results indicate that a category-based approach is a successful way to provide access to image collections.
1,074 citations
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16 Feb 2009
TL;DR: This text provides the background and tools needed to evaluate, compare and modify search engines and numerous programming exercises make extensive use of Galago, a Java-based open source search engine.
Abstract: KEY BENEFIT: Written by a leader in the field of information retrieval, this text provides the background and tools needed to evaluate, compare and modify search engines. KEY TOPICS: Coverage of the underlying IR and mathematical models reinforce key concepts. Numerous programming exercises make extensive use of Galago, a Java-based open source search engine. MARKET: A valuable tool for search engine and information retrieval professionals.
1,050 citations
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TL;DR: This lecture introduces exploratory search, relates it to relevant extant research, outline the features of exploratorySearch systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratorysearch.
Abstract: As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model support d by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world. Table of Contents: Introduction / Defining Exploratory Search / Related Work / Features of Exploratory Search Systems / Evaluation of Exploratory Search Systems / Future Directions and concluding Remarks
725 citations